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<p>Structure for the Kalman filter's initialization parameters.  
 <a href="../../d7/df7/structcv_1_1gapi_1_1KalmanParams.html#details">More...</a></p>

<p><code>#include &lt;opencv2/gapi/video.hpp&gt;</code></p>
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Public Attributes</h2></td></tr>
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<tr class="memdesc:ac4aac985d16bb68b5cdf0c9645f5edc3"><td class="mdescLeft">&#160;</td><td class="mdescRight">control matrix (B) (Optional: not used if there's no control)  <a href="#ac4aac985d16bb68b5cdf0c9645f5edc3">More...</a><br /></td></tr>
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<tr class="memdesc:a9b407244e018ec38ca4b1ca9ffa341ff"><td class="mdescLeft">&#160;</td><td class="mdescRight">posteriori error estimate covariance matrix (P(k)): P(k)=(I-K(k)*H)*P'(k)  <a href="#a9b407244e018ec38ca4b1ca9ffa341ff">More...</a><br /></td></tr>
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<tr class="memdesc:a23df4d899b46365df5ac42eb2ea5cb77"><td class="mdescLeft">&#160;</td><td class="mdescRight">measurement matrix (H)  <a href="#a23df4d899b46365df5ac42eb2ea5cb77">More...</a><br /></td></tr>
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<tr class="memdesc:a39e7c111711960bfe3af61d45d8dde1f"><td class="mdescLeft">&#160;</td><td class="mdescRight">measurement noise covariance matrix (R)  <a href="#a39e7c111711960bfe3af61d45d8dde1f">More...</a><br /></td></tr>
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<tr class="memdesc:acbb421385bdb3030bcd0298761f01a14"><td class="mdescLeft">&#160;</td><td class="mdescRight">process noise covariance matrix (Q)  <a href="#acbb421385bdb3030bcd0298761f01a14">More...</a><br /></td></tr>
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<tr class="memdesc:ac653386f4e968d13a60eb2e9ef44a367"><td class="mdescLeft">&#160;</td><td class="mdescRight">corrected state (x(k)): x(k)=x'(k)+K(k)*(z(k)-H*x'(k))  <a href="#ac653386f4e968d13a60eb2e9ef44a367">More...</a><br /></td></tr>
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<tr class="memdesc:a8f7e063aa243801154e67d16ca9a1f00"><td class="mdescLeft">&#160;</td><td class="mdescRight">state transition matrix (A)  <a href="#a8f7e063aa243801154e67d16ca9a1f00">More...</a><br /></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>Structure for the Kalman filter's initialization parameters. </p>
</div><h2 class="groupheader">Member Data Documentation</h2>
<a id="ac4aac985d16bb68b5cdf0c9645f5edc3"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ac4aac985d16bb68b5cdf0c9645f5edc3">&#9670;&nbsp;</a></span>controlMatrix</h2>

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<p>control matrix (B) (Optional: not used if there's no control) </p>

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<h2 class="memtitle"><span class="permalink"><a href="#a9b407244e018ec38ca4b1ca9ffa341ff">&#9670;&nbsp;</a></span>errorCov</h2>

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<p>posteriori error estimate covariance matrix (P(k)): P(k)=(I-K(k)*H)*P'(k) </p>

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<h2 class="memtitle"><span class="permalink"><a href="#a23df4d899b46365df5ac42eb2ea5cb77">&#9670;&nbsp;</a></span>measurementMatrix</h2>

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<p>measurement matrix (H) </p>

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<a id="a39e7c111711960bfe3af61d45d8dde1f"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a39e7c111711960bfe3af61d45d8dde1f">&#9670;&nbsp;</a></span>measurementNoiseCov</h2>

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<p>measurement noise covariance matrix (R) </p>

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<h2 class="memtitle"><span class="permalink"><a href="#acbb421385bdb3030bcd0298761f01a14">&#9670;&nbsp;</a></span>processNoiseCov</h2>

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<p>process noise covariance matrix (Q) </p>

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<h2 class="memtitle"><span class="permalink"><a href="#ac653386f4e968d13a60eb2e9ef44a367">&#9670;&nbsp;</a></span>state</h2>

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<p>corrected state (x(k)): x(k)=x'(k)+K(k)*(z(k)-H*x'(k)) </p>

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<h2 class="memtitle"><span class="permalink"><a href="#a8f7e063aa243801154e67d16ca9a1f00">&#9670;&nbsp;</a></span>transitionMatrix</h2>

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<p>state transition matrix (A) </p>

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<hr/>The documentation for this struct was generated from the following file:<ul>
<li>opencv2/gapi/<a class="el" href="../../d6/deb/gapi_2include_2opencv2_2gapi_2video_8hpp.html">video.hpp</a></li>
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